Senior Data Engineer

QL Resources Group; Shah Alam; On-site; MYR 120,000 - 180,000; Full time

Job summary

QL Corporate Services Sdn Bhd is seeking a Senior Data Engineer to design, build, and operate an enterprise data platform on Microsoft Fabric. You will focus on Lakehouse architecture, data ingestion, ETL/ELT pipelines, data quality, and analytics-ready assets to empower analytics, AI, and self-service BI across the organisation.

You will collaborate with ERP, manufacturing, finance, and supply chain systems, mentored by senior teammates and based in Shah Alam.

Qualifications

• Bachelor’s degree in Computer Science, IT, Data Science, Data Engineering or related field.
• 4–6 years hands-on experience in data engineering, BI, data warehousing or analytics.
• Strong experience with Microsoft Fabric, OneLake, Azure Synapse, Azure Data Factory, SQL, Python and PySpark.

Responsibilities

• Build and enhance QL Group’s enterprise Lakehouse platform using Medallion Architecture principles.
• Develop and optimise data ingestion from ERP, manufacturing, supply chain, finance and other enterprise systems.
• Design, schedule and monitor ETL/ELT pipelines to ensure timely, accurate and reliable data delivery.
• Apply data governance, access control and data quality standards to keep enterprise data secure and trusted.
• Partner with business and IT stakeholders to translate requirements into effective analytics solutions, improving data accessibility, self-service adoption, and overall user satisfaction.
• Deliver high-quality technical work on assigned projects, share expertise, and mentor junior team members to help raise data literacy across teams.

Skills

Data engineering

BI

Data warehousing

Analytics

Education

Bachelor’s degree in CS/IT/DS/DE

Tools

Microsoft Fabric

OneLake

Azure Synapse

Azure Data Factory

SQL

Python

PySpark

Job description

Company Name: QL Corporate Services Sdn Bhd

Snapshot of the Role

In this role as theSenior Data Engineer, you will design, build and operate QL Group’s enterprise data platform on Microsoft Fabric, delivering reliable, high-quality data that powers analytics, AI, and self-service BI across the organisation. You will work on Lakehouse architecture, data ingestion, ETL/ELT pipelines, data quality, performance optimisation and reusable analytics-ready data assets.

What You’ll Be Driven To Do

• Build and enhance QL Group’s enterprise Lakehouse platform using Medallion Architecture principles.
• Develop and optimise data ingestion from ERP, manufacturing, supply chain, finance and other enterprise systems.
• Design, schedule and monitor ETL/ELT pipelines to ensure timely, accurate and reliable data delivery.
• Apply data governance, access control and data quality standards to keep enterprise data secure and trusted.
• Partner with business and IT stakeholders to translate requirements into effective analytics solutions, improving data accessibility, self-service adoption, and overall user satisfaction.
• Deliver high-quality technical work on assigned projects, share expertise, and mentor junior team members to help raise data literacy across teams.

What You’ll Need to Succeed

• Bachelor’s degree inComputer Science, IT, Data Science, Data Engineeringor a related field. A Master’s degree or relevant professional certification (e.g. Microsoft Fabric, Azure Data Engineer, Power BI Data Analyst, Databricks, or AWS/GCP data certifications) is an added advantage.
• Minimum4–6 yearsof hands-on experience in data engineering, BI, data warehousing or analytics.
• Proven track record in delivering enterprise data pipelines, ingestion and integration frameworks, and analytics platforms within a complex, multi-system environment (ERP, financial, manufacturing, supply chain, and commercial systems).
• Strong experience with Microsoft Fabric, OneLake, Azure Synapse, Azure Data Factory, SQL, Python and PySpark. Knowledge of Lakehouse design, Medallion Architecture, Parquet/Delta formats and dimensional data modelling.
• Strong communication, problem-solving and stakeholder management skills, with a practical, service-oriented mindset.
• Willing to be based at Shah Alam, Selangor.

At QL, sustainability and innovation go hand in hand. Join us in building data-driven solutions that support a sustainable agrofood ecosystem and accelerate our digital transformation journey.